On one homogeneity test based on the kernel-type estimators of the distribution density

DOI10.1007/s11253-019-01660-5zbMath1435.62066OpenAlexW2981855908WikidataQ126975793 ScholiaQ126975793MaRDI QIDQ2307633

Elizbar A. Nadaraya, Petre K. Babilua

Publication date: 25 March 2020

Published in: Ukrainian Mathematical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11253-019-01660-5

zbMATH Keywords

homogeneity testdistribution density

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Exact distribution theory in statistics (62E15)

Cites Work

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• Limit theorems for stochastic measures of the accuracy of density estimators
• A quadratic measure of deviation of two-dimensional density estimates and a test of independence
• Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates
• Verification of the hypotheses on the equality of densities of the distributions
• On some global measures of the deviations of density function estimates
• An approximation of partial sums of independent RV'-s, and the sample DF. I

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